MoCaO Lectures: Data Science
Attention: Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. We encourage those who have already registered to re-register using the new google form. We apologies for any inconvenience. If you have any enquiries please send an email to MoCaO@austms.org.au. Please check the website prior to the lectures for last minute information or announcements.
July 11-15, 2022
We are pleased to announce the inaugural MoCaO Lectures in Computation and Optimisation. For 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and applications. These lectures are designed to be accessible to novices to the field who have a mathematics and computational background, such as PhD students, postdoc and/or inquisitive academics who wish to have a better understanding of recent advances in this dynamic field.
Speakers:
Prof. Stephen Wright: is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world renowned expert in optimization and the author of several highly cited books in this field.
Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.
Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.
For more information and registration, got to
MoCaO Lectures: Data Science – Mathematics of Computation and Optimisation